Fahali

Fahali gives AI agents eyes on market risk. 18 detection engines deliver anomaly, capital-flow, regime, dark-pool, whale, contagion, and crash-precursor intelligence across crypto and equities/ETFs. Every signal is resolved against realized price in an append-only ledger. All 22 tools are read-only — no order routing, no path to capital. Engines without enough resolved outcomes report 'calibrating' — never an invented number. Observation, not financial advice.

View in the ChatGPT registry

Integration type: Plugin
Verification status: Not applicable
Platform: ChatGPT
Category: Finance
Primary Subcategory: Stock & Investment Analysis Tools
Secondary Subcategories: None listed
Brand: Fahali
Access: Account required
First tracked: 2026-08-14
Tool count: 24
Geography: US

ChatGPT Plugin Discoverability Score

ChatGPT organic discovery is not live yet

Fahali is tracked in the ChatGPT Plugin registry. Public organic-discovery measurement is not live for ChatGPT yet, so there is no score to publish today.

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Primary Subcategory

Competing in ChatGPT Stock & Investment Analysis Tools

View Category

Listed in alphabetical order

Primary Subcategory

AbSOrganic discovery is pendingGet the score at launch

AlphaStocksOrganic discovery is pendingGet the score at launch

Brief SlidesOrganic discovery is pendingGet the score at launch

Cars.co.zaOrganic discovery is pendingGet the score at launch

DeckCraft SlidesOrganic discovery is pendingGet the score at launch

FahaliOrganic discovery is pendingGet the score at launch

Score explained

How the Discoverability Score works

Organic discovery scoring for Fahali on ChatGPT is not live yet. The score will use measured agent conversations when it launches.

InvisibleBuriedEmergingCompetitiveWinning

Organic discovery scoring is pending. Your Plugin score will appear on this scale when measurement goes live.

FoundDiagnostic

Whether Claude found your Plugin in connector search. It must be Found before it can reach the picker, but the score counts picker appearances—not search results.

PickedMain score

How often your Plugin appeared in the picker, or Claude invoked it directly, across contested conversations. This percentage is the Discoverability Score; the headline number is rounded.

PositionedDiagnostic

What position your Plugin appeared in when it was shown in the picker. This shows prominence, but it does not affect the score.

Read the full scoring methodology Recommended guideHow to get your Claude Connector organically discoveredFollow the practical steps agents use to find, shortlist, and choose your Connector.

Tools

24 tools agents can invoke

Analyze risk for a custom portfolio that you provide inline (no connected accounts needed). Accepts positions array with symbol, market_value, quantity, avg_cost, and side. Returns the same risk breakdown as get_portfolio_risk: VaR95, drawdown, per-position risk scores, recommendations, and contagion risk. Useful for what-if analysis or evaluating a portfolio before you connect accounts.
Get a yesterday-vs-today delta teaser: alert volume change, risk score, top signal, and HMM market regime (when available). Lightweight, fast. Free tier returns risk score + regime + top signal + headline. Professional tier gets full alert_activity delta with prior-period comparison. For full executive market analysis (risk breakdown, smart-money flow, top opportunities, contributing engines) use fahali_get_market_briefing. Sources: alerts, spectra_layer_aggregations. Observation, not financial advice.
Get capital flow intelligence for a specific symbol. Returns net flow in USD, flow direction (inflow/outflow/neutral), confidence, institutional vs retail breakdown, whale activity flag, and flow trend. Covers the order_flow engine. Requires Professional tier or higher.
Get verified case studies from the resolved signal-outcome moat. Returns 40 time-diverse cases with: symbol, alert type, confidence, direction (bullish/bearish/neutral), entry price, outcome price, profit/loss percent, correctness boolean, outcome kind (direction/magnitude/volatility/crash_catch), and 4h/24h returns. Covers the walk_forward engine. Public data — no tier required.
Get cross-asset contagion and tail dependence map. Returns nodes (symbols with risk scores), edges (pairwise correlation strength, confidence, time to materialize), and clusters of correlated assets with lead symbols. Covers the tail_dependence and correlation engines. Requires Elite tier or higher.
Get cross-asset correlation matrix from the tail_dependence engine. Returns per-symbol correlation with market, dependence strength, list of affected correlated symbols, contagion risk level, and timestamp. Covers the correlation and tail_dependence engines. Public data — no tier required.
Get dark pool proxy estimates. Returns symbols with a dark-pool proxy score (estimated from public market microstructure, not actual off-exchange measurements), likely patterns, institutional sentiment direction, and ML breakdown. This is a proxy — Fahali does not have direct off-exchange data. Covers the dark_pool engine. Public data — no tier required.
Get liveness report for all detection engines. Returns per-engine status: last fired timestamp, event count in 1h/24h/7d windows, current status (active/dormant/error), and human-readable interpretation. Also includes market context and unmapped alert type inventory. Public data — no tier required.
Get flash crash risk assessment across all monitored symbols. Returns per-symbol crash probability, risk level, estimated adverse move percentage, likely trigger event, time to crash estimate, protective actions, and market-wide risk summary. Covers crash_predictor, early_warning, risk_intelligence, volatility, leverage, funding_stress engines. Public data — no tier required.
Get highest-conviction multi-engine consensus signals. Returns symbols with 2+ detection engines agreeing, ranked by engine count and directional decisiveness. Each entry includes engine list, severity, action direction (buy/sell/neutral), and latest timestamp. Synthesizes agreement across ALL 18 engines. Public data — no tier required.
Get computed institutional risk score from weighted detection engine signals. Returns overall score (0-100), risk level (critical/high/moderate/low), narrative observation, breakdown by component, and detection count. Crash component is capped at 50 to prevent single-sided saturation. Observation, not advice. Public data — no tier required.
Full executive market analysis for today — synthesized market risk breakdown, HMM regime (when available), smart-money flow, top multi-engine opportunities, contributing engines, and crash-risk summary. This is the complete answer to 'market analysis for today'. Composition of existing detection components only. For a lightweight yesterday-vs-today delta teaser use fahali_daily_brief. Public — no tier required. Observation, not advice.
Get detected market regime from the HMM 4-regime engine when available. Returns regime type (bullish/bearish/neutral/high_vol or null), volatility, trend, and expected return. Returns empty array + nulls when HMM regime data is not currently persisted (data availability depends on detection-layer writes). Covers the market_regime engine. Observation, not advice. Requires authentication.
Get market sentiment history from news and detection signals. Supports optional symbol filter. Returns sentiment score, confidence, direction (bullish/bearish/neutral), source, and news count per entry. Covers the momentum and volume_anomaly engines. Public data — no tier required.
Get live market snapshot with prices, changes, and asset class for all monitored instruments. Returns assets (crypto USDT pairs from Binance + US equities/ETFs from Alpaca) with symbol, price, change percent, and volume data. Also includes market indices. Public data — no tier required.
Get structured market verdict for one or more symbols. Returns direction (bullish/bearish/neutral), confidence score, reasoning chain, expected move percentage, and forecast horizon. Covers dark_pool, pattern_recognition, ml_ensemble, momentum, market_regime, sentiment engines. Requires Professional tier or higher.
Get aggregate portfolio risk metrics. Returns sentiment momentum (bullish vs bearish signal balance), cascade risk score, liquidity stress score, and leverage level. Synthesizes data from leverage, funding_stress, and volume_anomaly engines. Public data — no tier required.
Get portfolio risk assessment for your connected exchange accounts. Returns overall risk score (0-100), value-at-risk (VaR95), expected drawdown, per-position risk breakdown with symbol-level recommendations (REDUCE/HEDGE/MONITOR), and contagion risk. Requires connected exchange accounts. Requires Elite tier or higher.
Get unified realtime detection feed from all 18 engines. Returns signals, active alerts, anomalies, dark pool activity, risk metrics, and nexus signals in one response. Includes alert count, signal count, and timestamps. Best single-call tool for 'what is Fahali detecting right now'. Public data — no tier required.
Get institutional smart money dashboard. Returns detection counts per symbol, overall institutional action (accumulating/distributing/neutral), top symbol by detection count, sector rotation, and alert-derived sentiment. Fields are honestly labeled: 'detectionsToday' is an alert count (not USD volume), 'topSymbolByDetections' is the most-alerted symbol (not a price move). Covers the order_flow engine. Public data — no tier required.
Get the honest 4-axis track record scorecard. Returns direction accuracy, magnitude precision, crash catch rate, and volatility assessment — each with base-rate lift vs raw hit-rate. Includes blended aggregate and base rate context. Do NOT cite raw percentages without the base rate lift. Public data — no tier required.
Get the visual intelligence constellation — a unified snapshot of all 18 detection engines rendered as interactive graph nodes. Returns nodes (symbol, radius, glow intensity, status, stress, ETF exposure, gamma exposure, institutional flow, trigger event), inter-node flows (source, target, value, velocity), vortex metadata (active, intensity, gravitational pull, label), signal strength, and market context. Covers ALL 18 engines in one snapshot. Public data — no tier required.
Get whale and large institutional trade activity. Returns per-symbol whale count, accumulated volume, phase (accumulation/distribution/markup/markdown), average entry price, estimated target, probability, entity type, and dominant action. Covers the risk_intelligence engine (whale detection component). Public data — no tier required.
Run a natural-language stress test on a portfolio. Describe a scenario (e.g. 'Stress test against 2020 COVID crash combined with 20% Yen devaluation') and optionally provide custom positions. Returns scenario simulations with market drop, probability, expected drawdown, most vulnerable symbols, and estimated capital at risk. Requires authentication.

Fahali FAQ

How do I improve a ChatGPT Plugin's discoverability?

The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.

What are Fahali alternatives on ChatGPT?

As of 2026-08-14, Fahali competes with AbS, AlphaStocks, Brief Slides, Cars.co.za, DeckCraft Slides, Equity Release Calculator, Fintables, Kova, Longbridge, Modrek, Morningstar, Next Stock - Market Insights, PFT Edgebook - Trading Journal, Rallies, StockLens, Stocktwits, Superfunds, The Fly Market Intelligence, TipRanks, TradingCursor, Unusual Whales, 엔카 내차팔기 in ChatGPT Stock & Investment Analysis Tools, ranked by public Discoverability Score.

Where is this profile measured?

This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.